Triple
T35661176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villamayor sandstone |
E1030437
|
entity |
| Predicate | givesCityColorTo |
P26636
|
FINISHED |
| Object | Salamanca |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Salamanca | Statement: [Villamayor sandstone, givesCityColorTo, Salamanca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesCityColorTo Context triple: [Villamayor sandstone, givesCityColorTo, Salamanca]
-
A.
startOfCityAndColour
Indicates that one entity marks the initial or starting point of both a specified city and a specified colour in a given sequence or representation.
-
B.
drawCity
Indicates creating a visual representation or illustration of a city.
-
C.
mapColor
chosen
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
D.
zoneColor
Indicates the color assigned to a particular zone or area.
-
E.
representsCity
Indicates that one entity serves as the official representative or embodiment of a particular city.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fa7d1708190bb5defe2ea54dc75 |
completed | May 3, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.